Browsing Waterloo Research by Subject "multiple imputation"
Now showing items 1-2 of 2
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Multiple imputation for the analysis of incomplete compound variables
(Wiley, 2015-06)In many settings interest lies in modelling a compound variable defined as a function of two or more component variables. When one or more of the components are missing, the compound variable is not observed and a strategy ... -
Statistical methods for incomplete data: Some results on model misspecification
(Sage Publishing, 2017-02-01)Inverse probability weighted estimating equations and multiple imputation are two of the most studied frameworks for dealing with incomplete data in clinical and epidemiological research. We examine the limiting behaviour ...